{"id":"W1567346231","doi":"10.1002/tcr.201500018","title":"Carbyne: The Molecular Approach","year":2015,"lang":"en","type":"article","venue":"The Chemical Record","topic":"Fullerene Chemistry and Applications","field":"Chemistry","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; University of Alberta","keywords":"Carbyne; Computational biology; Computer science; Chemistry; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302742,0.0001363671,0.0001123844,0.000003427017,0.00007670155,0.00003280353,0.0007349252,0.0001001643,0.000214838],"category_scores_gemma":[0.0001635997,0.00007558881,0.00008885588,0.0001242292,0.0001801961,0.00001845039,0.0001496733,0.0003403216,0.00009393718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004878806,"about_ca_system_score_gemma":0.00004639594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002304851,"about_ca_topic_score_gemma":2.382314e-7,"domain_scores_codex":[0.9991831,0.00001050996,0.0001595896,0.0002250854,0.0002008856,0.0002208847],"domain_scores_gemma":[0.9988869,0.0001107995,0.00005734793,0.0007660058,0.00005007932,0.0001288476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002317869,0.00006444351,0.00002951086,0.00002351112,0.00002743878,0.000001362766,0.0001708258,0.00001359356,0.9754077,0.00169738,0.01926842,0.003272638],"study_design_scores_gemma":[0.000188012,0.000001889069,8.645162e-7,0.000005907066,0.00002537904,0.00001967996,0.0003351877,0.0003767179,0.8956678,0.004303478,0.09895304,0.0001220701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6952699,0.0002167362,0.0001696055,0.002016612,0.00002760466,0.00005433212,0.000006704044,0.00008553664,0.3021529],"genre_scores_gemma":[0.9955795,0.000009223381,0.0004967316,0.0002904367,0.0003146906,0.0001313323,0.00003867917,0.0000203119,0.00311909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3003095,"threshold_uncertainty_score":0.3082422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990807124795044,"score_gpt":0.2426668295588372,"score_spread":0.2127587583108868,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}